I will present a mean-field approach for accurately describing strong correlations via electron number fluctuations and pairings constrained to an active space. Electron number conservation is broken and correct only on average but both spin and spatial symmetries are preserved. Optimized natural orbitals and occupations are determined by diagonalization of a mean-field Hamiltonian. This constrained-pairing mean-field theory (CPMFT) yields a two-particle density matrix ansatz that seems to exclusively describe static correlation. I will demonstrate CPMFT accuracy with applications to the metal-insulator transition of large hydrogen clusters and molecular dissociation curves. I will also discuss the inclusion of dynamical correlation effects...
It is commonly accepted in the scientific literature that the static correlation energy, <i>E</i><su...
Complete active space self-consistent field (CASSCF) computations can be realized at polynomial cost...
This article is a short introduction to the modern computational techniques used to tackle the many-...
The main focus of this thesis is the detailed investigation of computational methods to tackle stron...
In this thesis we study strongly correlated electron systems within the Density Functional Theory (D...
Abstract. The dynamical mean-field theory (DMFT) is a widely applicable approx-imation scheme for th...
A recently proposed series of corrections to the earliest JK -only functionals has considerably impr...
Among the various approximate methods used to study many-particle systems the simplest are mean-fiel...
The study of strongly correlated materials is currently perhaps one of the most active areas of res...
Perhaps the most important approximations to the electronic structure problem in quantum chemistry a...
The collective ground-state correlations stemming from low-lying quadrupole excitations are computed...
In this thesis, we tackle various problems in strongly correlated electron systems, which can be ad...
1. Dieter Vollhardt: Why Calculate in Infinite Dimensions? 2. Giovanni Vignale: Fermi Liquids, 3. Ja...
Nanostructures with open shell transition metal or molecular constituents host often strong electron...
The extension of density functional theory (DFT) to include pairing correlations without formal viol...
It is commonly accepted in the scientific literature that the static correlation energy, <i>E</i><su...
Complete active space self-consistent field (CASSCF) computations can be realized at polynomial cost...
This article is a short introduction to the modern computational techniques used to tackle the many-...
The main focus of this thesis is the detailed investigation of computational methods to tackle stron...
In this thesis we study strongly correlated electron systems within the Density Functional Theory (D...
Abstract. The dynamical mean-field theory (DMFT) is a widely applicable approx-imation scheme for th...
A recently proposed series of corrections to the earliest JK -only functionals has considerably impr...
Among the various approximate methods used to study many-particle systems the simplest are mean-fiel...
The study of strongly correlated materials is currently perhaps one of the most active areas of res...
Perhaps the most important approximations to the electronic structure problem in quantum chemistry a...
The collective ground-state correlations stemming from low-lying quadrupole excitations are computed...
In this thesis, we tackle various problems in strongly correlated electron systems, which can be ad...
1. Dieter Vollhardt: Why Calculate in Infinite Dimensions? 2. Giovanni Vignale: Fermi Liquids, 3. Ja...
Nanostructures with open shell transition metal or molecular constituents host often strong electron...
The extension of density functional theory (DFT) to include pairing correlations without formal viol...
It is commonly accepted in the scientific literature that the static correlation energy, <i>E</i><su...
Complete active space self-consistent field (CASSCF) computations can be realized at polynomial cost...
This article is a short introduction to the modern computational techniques used to tackle the many-...